In his fast-paced, ultimate guide to 5K running races, celebrated running coach Pete Magill reveals the 25 crucial keys to setting your next 5K PR. Magill shares hard-earned lessons he gained while leading 19 teams to USA national championships and setting multiple American and world age-group and masters records. Fast 5K shares Magill’s essential keys to finding your fastest running fitness and race readiness. The 25 keys include optimal training mileage, effective tempo runs, VO2 max workouts, hill repeats, plyometrics that work, ways to prevent injuries, recovery tips, guides to diet and racing weight, choosing racing flats, and much more. Offering three 12-week and one 16-week 5K training plans, Fast 5K is the key to your best 5K running times. Pete Magill is a world-class 5K runner, personally holds multiple American and world age-group records in track & field and road racing and is a 5-time USA Masters Cross Country Runner of the Year. Now in this distilled guide, you can get world-class advice on how to run your fastest 5K ever.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    By the end of the book, you'll understand how to develop a large, maintainable, and performant application with AngularJS.Guided by two engineers who worked on AngularJS at Google, you'll learn the components needed to build data-driven applications, using declarative programming and the Model-view-controller pattern. You'll also learn how to conduct unit tests on each part of your application.Learn how to use controllers for moving data to and from viewsUnderstand when to use AngularJS services instead of controllersCommunicate with the server to store, fetch, and update data asynchronouslyKnow when to use AngularJS filters for converting data and values to different formatsImplement single-page applications, using ngRoute to select views and navigationDive into basic and advanced directives for creating reusable componentsWrite an end-to-end test on a live version of your entire applicationUse best practices, guidelines, and tools throughout the development cycle

    The benefits of doing so are explained and the formula to discovering your personal ikigai is within the pages of this book.Change your outlook and give yourself a reason for getting up in the morning, surround yourself with positive people and improve your life. That is the root of the ikigai, to find your bliss!

    Parts cover: Windows 8.1 Stuff Everybody Thinks You Already Know - an introduction to the dual interfaces, basic mechanics, file storage, and instruction on how to get the free upgrade to Windows 8.1.Working with Programs, Apps and Files - the basics of finding and launching apps, getting help, and printingGetting Things Done on the Internet - instructions for connecting a Windows 8.1 device, using web and social apps, and maintaining privacyCustomizing and Upgrading Windows 8.1 - Windows 8.1 offers big changes to what a user can customize on the OS. This section shows how to manipulate app tiles, give Windows the look you in, set up boot-to-desktop capabilities, connect to a network, and create user accounts.Music, Photos and Movies - Windows 8.1 offers new apps and capabilities for working with onboard and online media, all covered in this chapterHelp! - includes guidance on how to fix common problems, interpret strange messages, move files to a new PC, and use the built-in help systemThe Part of Tens - quick tips for avoiding common annoyances and working with Windows 8.1 on a touch device

    An untold one that played out in the district of Kozhikode when a young IAS officer took charge as the District Collector in 2015. Over the next two years, he led the district and transformed the very concept of public administration with the use of social media, public consultation, usage of technology, volunteerism and public participation in governance. The two year tenure of 'Collector Bro' in Kozhikode transformed the landscape and narrative of district administration and communication with the citizens forever.Within a couple of months, 'Collector Kozhikode' Facebook page became a trendsetter in Kerala, and the most followed district administration page in India. It still is. With initiatives like Compassionate Kozhikode, Operation Sulaimani, Savari Giri Giri, Kozhipedia, Freedom Café, Yo Appooppa and Tere Mere Beach Mein, IAS officer Prasanth Nair, who was the District Collector of Kozhikode at that time, ushered in a new language of governance that endeavoured to bridge the gap between the district administration and citizens through the optimal employment of social media. The District Collector descended from the colonial ivory towers and mingled as one amongst the common man, totally dismantling the hierarchical stereotypes that the society was used to.This book traces the story of how exactly this happened and how and why the public responded so overwhelmingly to such an initiative. It also chronicles how these experiences transformed the young officer also - from a hesitant public speaker to a crowd-puller, from an introvert to a seemingly extrovert energetic leader. For the first time, the emotional roller-coaster of events that re-shaped the attitude and language of engagement by District administration is narrated with all the inside-stories. Straight from the horse's mouth. The author however takes pains not to take centre-stage in the book and manages that somewhat with wit and self-deprecating humour. This book has got nothing to do with government; but it is all about governance, life and compassion. At one level it is a collection of case-studies, the most readable and engrossing ones, narrated with fun and illustrations. At another level it is a chronicle of a personal journey of a compassionate administrator. This is not a typical arrogant bureaucratic ‘I did this’ book, but an ‘I went through this’ book. Not a high-horsed motivational ‘you can do it’ book, but a book that makes you think and prioritise what you want to do in life.As Dr. Shashi Tharoor says in the foreword, a must read for all civil servants, civil-service aspirants, students of public administration and all citizens who dream for a better tomorrow.

    Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple instructions you’ll craft a resume that hiring managers will love, learn how to ace your interview, and ensure you hit the ground running in your first months at your new job. Once you’ve gotten your foot in the door, learn to thrive as a data scientist by handling high expectations, dealing with stakeholders, and managing failures. Finally, you’ll look towards the future and learn about how to join the broader data science community, leaving a job gracefully, and plotting your career path. With this book by your side you’ll have everything you need to ensure a rewarding and productive role in data science.

    It covers the basic steps needed to create a vSphere HA and vSphere DRS cluster and to implement vSphere Storage DRS. Even more important, it explains the concepts and mechanisms behind HA, DRS and Storage DRS which will enable you to make well educated decisions. This book will take you in to the trenches of HA, DRS and Storage DRS and will give you the tools to understand and implement e.g. HA admission control policies, DRS resource pools, Datastore Clusters and resource allocation settings. On top of that each section contains basic design principles that can be used for designing, implementing or improving VMware infrastructures and fundamental supporting features like (Storage) vMotion, Storage I/O Control and much more are described in detail for the very first time. This book is also the ultimate guide to be prepared for any HA, DRS or Storage DRS related question or case study that might be presented during VMware VCDX, VCP and or VCAP exams.Coverage includes: HA node types HA isolation detection and response HA admission control VM Monitoring HA and DRS integration DRS imbalance algorithm Resource Pools Impact of reservations and limits CPU Resource Scheduling Memory Scheduler DPM Datastore Clusters Storage DRS algorithm Influencing SDRS recommendationsBe prepared to dive deep!

    Whether you are a newly elected president, CEO, or executive at any level, what you do in your first 100 days will be absolutely pivotal to your success or failure. Your First 100 Days in a New Executive Job will help you to seal your leadership, build a team you can count on, and have a bottom line impact before your first few months on the job is up. It will take you through all the steps of successful executive onboarding and show you how to avoid the typical pitfalls. Hargrove emphasizes the importance of getting clear on your going-in mandate—your contract with key stake holders. He also shows you how to use your first 100 days to declare an Impossible Future that represents the difference you want to make, while delivering on your Day Job. According to Hargrove, the key idea is to go for "quick wins" that establish a virtuous circle of increasing credibility and help you to avoid a vicious circle of decreasing credibility. This book will expand your aspirations and motivations, and give you a treasure trove of practical, down-to-earth tips to immediately apply in your new leadership role. * Have a story ready day one, as key stakeholders look for signals immediately—take symbolic action within 72 hours * Develop a "teachable point of view"—This is how we intend to win in this business * Build a team of 'A' players—get the right people on the bus * Declare an Impossible Future that unites warring tribes * Jump start your vision with 30, 60, 90-day catalytic breakthrough projects * Master the political chessboard and culture—It's all politics! * Drive bottom-line results before the end of your first 100 day

    These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of Web intelligence, as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    In 1986, he became the first college-educated hockey player ever selected first overall in the NHL entry draft. He won a Stanley Cup in Edmonton alongside Mark Messier. But since then, his life has taken a tragic turn as a result of mental illness, substance abuse and the untreated head injuries he suffered as a player.Murphy’s life didn’t begin on a track that would take him to poverty, addiction and illness. He was smart, dedicated and put his hockey life on hold to complete his education before joining the NHL. He once scored eighty-two points in a season and was a key player for the Oilers, Red Wings and Blackhawks, among other teams. But one vicious bodycheck during a game started him down a road to ruin. Murphy was clearly shaken by the hit, but he was never treated and he never missed a game. His entire life was about to change.Murphy became a journeyman, moving from team to team, and all along the way, other NHLers said they witnessed a change. Murphy was becoming more different by the day. He took to drugs and alcohol and soon found himself out of the NHL entirely. He and his wife divorced. Murphy eventually became homeless and, in the spring of 2019, he made his way to Kenora, Ontario, where he lived in the bush, spending his days outside a local convenience store, muttering to himself. The player who had once set the NHL aflame slept by the side of the road in the unforgiving North.In the vein of Playing with Fire and Boy on Ice, Finding Murph tells the tragic story of Joe Murphy and examines the role of the NHL in the downward spiral of one of the league’s most promising players.

    This volume is a theoretical and practical approach to the design of computer technology.